Senior Analyst, Salesforce

• Education: Bachelor's degree in Computer Science, Information Systems, Business Systems, Finance, or a related quantitative field
• Experience: 5+ years of experience as a Technical Data Analyst, Database Developer, or Technical Business Analyst, with a proven track record of transforming data and translating business needs into technical database solutions
• Advanced SQL & Cloud Data Warehousing: Expert-level, hands-on SQL skills. Deep practical experience building database views, designing table schemas, and writing performant joins, CTEs, and window functions in Snowflake (or similar cloud data warehouses)
• Requirement Gathering & "Detective" Mindset: Mastery of running technical discovery, asking critical-thinking questions to uncover true business needs, and mapping business rules into technical specifications
• Investigative Stewardship: Demonstrated ability to independently research unfamiliar data sources, collaborate with external business stewards, and rapidly synthesize how external databases connect to your team's models
• Project & Stakeholder Management: Strong organizational skills with experience managing a project queue, setting realistic delivery expectations, and navigating competing priorities across multiple teams
• Clear Communication: Exceptional ability to bridge the communication gap while explaining technical database schemas to business partners and business-level requirements to technical database engineers

Desirable

• The Global Incentive Compensation (GIC) team at Salesforce is a global leader for sales compensation in the technology industry
• We manage the sales compensation for all Salesforce, end-to-end - from designing the sales compensation plan to enable the company’s go-to-market strategy to administering the payment so that our sales teams get paid on time
• We are currently hiring for an Senior Data Analyst, Global Incentive Compensation Analytics
• This highly technical role will focus on generating deeper insights through sophisticated analysis and scientific modeling
• You will support strategic compensation plan design decisions through data-driven recommendations, leveraging advanced statistical methods to assess the effectiveness of our existing programs
• You will partner closely with stakeholders across the business to determine how best to align our plans with Salesforce’s strategic direction
• The ideal candidate is comfortable working in a dynamic, data-driven environment, demonstrates natural curiosity, and is capable of building models that influence decision-makers
• Advanced Modeling & Simulation: Build and deploy scientific and predictive models using Python to simulate the financial and behavioral impacts of proposed compensation plan changes, providing analytics and data-backed business cases during the annual company GTM planning cycle
• Deep-Dive Analytics: Go beyond standard reporting to uncover hidden trends, performing sophisticated statistical analyses to evaluate the true effectiveness and ROI of various Incentive Compensation programs
• Data Pipeline & Automation: Extract, manipulate, and transform large datasets using advanced SQL and Python to automate deep insight generation, moving away from manual Excel-based processes
• Strategic Partnership: Serve as the dedicated technical analytics partner for aligned GTM organizations, translating complex scientific models into actionable business recommendations to evaluate the impact of compensation plan changes. Forecasting: Track commission costs by developing robust predictive algorithms that forecast future GTM performance and commission payouts
• Pay-for-Performance Framework:
• Against quota attainment, utilizing advanced data modeling to optimize commission multipliers and strategically alignDesign and build a comprehensive framework to evaluate current payout rates
• Compensation structures across various roles and performance tiers